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The use of quantile regressions in estimating gender wage differentials: a case study of the Philippines

  • Chris Sakellariou

Quantile regressions are used to analyse the size, components, and nature of the gender-earnings differentials as well as the returns to education by gender in the Philippines, over the entire conditional distribution of earnings, using data from the 1999 APIS survey. This approach allows more focused conclusions about the nature of gender-earnings differentials. Incorporating the quantile regression approach to the Oaxaca-Blinder decomposition allows the localization of gender discrimination to particular quantiles of the earnings distribution and permits more targeted policy intervention.

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Article provided by Taylor & Francis Journals in its journal Applied Economics.

Volume (Year): 36 (2004)
Issue (Month): 9 ()
Pages: 1001-1007

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Handle: RePEc:taf:applec:v:36:y:2004:i:9:p:1001-1007
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  1. Pereira, Pedro T. & Martins, Pedro S., 2000. "Does Education Reduce Wage Inequality? Quantile Regressions Evidence from Fifteen European Countries," IZA Discussion Papers 120, Institute for the Study of Labor (IZA).
  2. Oaxaca, Ronald L. & Ransom, Michael R., 1994. "On discrimination and the decomposition of wage differentials," Journal of Econometrics, Elsevier, vol. 61(1), pages 5-21, March.
  3. Javier Gardeazabal & Arantza Ugidos, . "Measuring the gender gap at different quantiles of the wage distribution," Studies on the Spanish Economy 108, FEDEA.
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